How Machine Learning Works

Machine learning is amazing… and intimidating. How can computers do magical things like understand images or text? This training for programmers will dispel the magic and help you to build your own computer vision program, starting from scratch.

Machine learning is fascinating, but those math-heavy tutorials can be intimidating, even for a programmer. In this course, How Machine Learning Works, you’ll learn the basics of machine learning from code. First, you will have a look at supervised learning, and you'll quickly move to coding your first learning program, and see how to improve that program line by line. Then, you'll discover how to improve that program line by line. Finally, you'll see how to write this program by yourself, without resorting to obscure machine learning libraries. By the end of the course, you'll have a working computer vision program that recognizes handwritten characters, and you'll have practical knowledge of the foundational ideas of machine learning.

• Course Overview 2mins
• Introduction 11mins
• Building Your First Machine Learning Program 25mins
• Improving the Algorithm with Gradient Descent 17mins
• Expanding Regression to Multiple Variables 24mins
• Predicting Discrete Outcomes 15mins
• Recognizing Individual Digits 18mins
• Figuring Out Image Recognition 15mins
• Seeing the Big Picture 12mins